{"id":"https://openalex.org/W4288751245","doi":"https://doi.org/10.1109/tmi.2022.3194984","title":"A Unified Deep Learning Framework for ssTEM Image Restoration","display_name":"A Unified Deep Learning Framework for ssTEM Image Restoration","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4288751245","doi":"https://doi.org/10.1109/tmi.2022.3194984","pmid":"https://pubmed.ncbi.nlm.nih.gov/35905070"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3194984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3194984","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102945307","display_name":"Shiyu Deng","orcid":"https://orcid.org/0000-0002-1100-6446"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiyu Deng","raw_affiliation_strings":["National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667042","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-7513-3105"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734451","display_name":"Chang Chen","orcid":"https://orcid.org/0000-0001-8281-9244"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Chen","raw_affiliation_strings":["National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Fu","raw_affiliation_strings":["National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008612863","display_name":"Zhiwei Xiong","orcid":"https://orcid.org/0000-0002-9787-7460"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xiong","raw_affiliation_strings":["National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China","Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Brain-Inspired Intelligence Technology and Application, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102945307"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":3.9267,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93559042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"41","issue":"12","first_page":"3734","last_page":"3746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7733763456344604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6723442673683167},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6375960111618042},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6032112240791321},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.595173180103302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5365087985992432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5076678991317749},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4613822102546692},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4612167775630951},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43951523303985596},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4156387150287628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3875880241394043},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3398340344429016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733763456344604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6723442673683167},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6375960111618042},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6032112240791321},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.595173180103302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5365087985992432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5076678991317749},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4613822102546692},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4612167775630951},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43951523303985596},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4156387150287628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3875880241394043},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3398340344429016},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3194984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3194984","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35905070","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35905070","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G6308808780","display_name":null,"funder_award_id":"62021001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8055637958","display_name":null,"funder_award_id":"2017YFA0700800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552003454","https://openalex.org/W1608731182","https://openalex.org/W1898703532","https://openalex.org/W1901129140","https://openalex.org/W1905052409","https://openalex.org/W1965637518","https://openalex.org/W2004626802","https://openalex.org/W2022235653","https://openalex.org/W2026140461","https://openalex.org/W2036100004","https://openalex.org/W2038665424","https://openalex.org/W2080858319","https://openalex.org/W2145251738","https://openalex.org/W2167279371","https://openalex.org/W2273795449","https://openalex.org/W2424921251","https://openalex.org/W2557414982","https://openalex.org/W2604329646","https://openalex.org/W2625354324","https://openalex.org/W2798365772","https://openalex.org/W2803790834","https://openalex.org/W2805221403","https://openalex.org/W2897492435","https://openalex.org/W2921208829","https://openalex.org/W2937123516","https://openalex.org/W2949808130","https://openalex.org/W2950217418","https://openalex.org/W2952236080","https://openalex.org/W2952762034","https://openalex.org/W2963231084","https://openalex.org/W2963420272","https://openalex.org/W2963642133","https://openalex.org/W2964251418","https://openalex.org/W2965831377","https://openalex.org/W2979779359","https://openalex.org/W2991377405","https://openalex.org/W2997095758","https://openalex.org/W2999278172","https://openalex.org/W3000775737","https://openalex.org/W3035251567","https://openalex.org/W3047011367","https://openalex.org/W3090394551","https://openalex.org/W3118769168","https://openalex.org/W3180514382","https://openalex.org/W4242059867","https://openalex.org/W4280631251","https://openalex.org/W4283822559","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6694469621","https://openalex.org/W6735698919","https://openalex.org/W6758681311"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W2068608913","https://openalex.org/W4248383205","https://openalex.org/W3124914020","https://openalex.org/W1919390113","https://openalex.org/W4234745530","https://openalex.org/W2146383839"],"abstract_inverted_index":{"Serial":[0],"section":[1],"transmission":[2],"electron":[3],"micro-scopy":[4],"(ssTEM)":[5],"reveals":[6],"biological":[7,30],"information":[8],"at":[9,242],"a":[10,53,113,122,129],"scale":[11],"of":[12,29,67,90,102,116,134,198,207,219,237],"nanometer":[13],"and":[14,46,77,92,140,189,212],"plays":[15],"an":[16,151],"important":[17],"role":[18],"in":[19,205],"the":[20,26,43,88,100,146,155,160,166,169,174,181,194,217,224],"ultrastructural":[21],"analysis.":[22],"However,":[23],"due":[24],"to":[25,159,164,178],"imperfect":[27],"preparation":[28],"samples,":[31],"ssTEM":[32,59,231],"images":[33,118,149],"are":[34],"usually":[35],"degraded":[36,104,161],"with":[37],"various":[38],"artifacts":[39,94],"that":[40],"greatly":[41],"challenge":[42],"subsequent":[44],"analysis":[45],"visualization.":[47],"In":[48],"this":[49,83,222],"paper,":[50],"we":[51,85,109,127],"introduce":[52],"unified":[54,226],"deep":[55,123,227],"learning":[56,228],"framework":[57,201,229],"for":[58,120,150,230],"image":[60,162,209,232],"restoration":[61,124,131,182,210,233],"which":[62,108],"addresses":[63],"three":[64,135],"main":[65],"types":[66,236],"artifacts,":[68],"i.e.,":[69,137],"Support":[70],"Film":[71],"Folds":[72],"(SFF),":[73],"Staining":[74],"Precipitates":[75],"(SP),":[76],"Missing":[78],"Sections":[79],"(MS).":[80],"To":[81,216],"achieve":[82],"goal,":[84],"first":[86,225],"model":[87],"appearance":[89],"SFF":[91],"SP":[93],"by":[95],"conducting":[96],"comprehensive":[97],"analyses":[98],"on":[99,107,186],"statistics":[101],"real":[103,190],"images,":[105],"relying":[106],"can":[110],"then":[111],"simulate":[112],"large":[114],"number":[115],"paired":[117],"(degraded/artifacts-free)":[119],"training":[121],"network.":[125],"Then,":[126],"design":[128],"coarse-to-fine":[130],"network":[132],"consisting":[133],"modules,":[136],"interpolation,":[138],"correction,":[139],"fusion.":[141],"The":[142],"interpolation":[143],"module":[144,157,171],"exploits":[145],"adjacent":[147],"artifacts-free":[148],"initial":[152],"restoration,":[153],"while":[154],"correction":[156],"resorts":[158],"itself":[163],"rectify":[165],"artifacts.":[167,238],"Finally,":[168],"fusion":[170],"jointly":[172],"utilizes":[173],"above":[175],"two":[176],"results":[177,185],"further":[179],"improve":[180],"fidelity.":[183],"Experimental":[184],"both":[187,208],"synthetic":[188],"test":[191],"data":[192],"validate":[193],"significantly":[195],"improved":[196],"performance":[197],"our":[199,220],"proposed":[200],"over":[202],"existing":[203],"solutions,":[204],"terms":[206],"fidelity":[211],"neuron":[213],"segmentation":[214],"accuracy.":[215],"best":[218],"knowledge,":[221],"is":[223,240],"from":[234],"different":[235],"Code":[239],"available":[241],"https://github.com/sydeng99/ssTEM-restoration.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
